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Brand Intelligence Analytics

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Digital Transformation of Collaboration (COINs 2019)

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Leveraging the power of big data represents an opportunity for brand managers to reveal patterns and trends in consumer perceptions, while monitoring positive or negative associations of the brand with desired topics. This chapter describes the functionalities of the SBS Brand Intelligence (SBS BI) app, which has been designed to assess brand importance and provide brand analytics through the analysis of (big) textual data. To better describe the SBS BI’s functionalities, we present a case study focused on the 2020 US Democratic Presidential Primaries. We downloaded 50,000 online articles from the Event Registry database, which contains both mainstream and blog news collected from around the world. These online news articles were transformed into networks of co-occurring words and analyzed by combining methods and tools from social network analysis and text mining.

“In God we trust. All others must bring data”.

W. Edwards Deming.

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Notes

  1. 1.

    The SBS BI web app is distributed as Software-as-a-Service, and access can be requested for research purposes. Web address: https://bi.semanticbrandscore.com. Conceptualized and developed by Andrea Fronzetti Colladon (Copyright © 2018–2020).

  2. 2.

    https://developer.twitter.com/en/docs/api-reference-index.

  3. 3.

    http://www.telpress.com/.

  4. 4.

    https://www.alexa.com/siteinfo.

  5. 5.

    https://github.com/plotly/plotly.py.

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Author information

Authors and Affiliations

  1. Department of Engineering, University of Perugia, Perugia, Italy

    Andrea Fronzetti Colladon

  2. Northeastern University, Boston, MA, USA

    Francesca Grippa

Authors
  1. Andrea Fronzetti Colladon
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  2. Francesca Grippa
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Corresponding author

Correspondence to Andrea Fronzetti Colladon .

Editor information

Editors and Affiliations

  1. Kozminski University, Warsaw, Poland

    Aleksandra Przegalinska

  2. Northeastern University, Boston, MA, USA

    Francesca Grippa

  3. MIT Center for Collective Intelligence, Cambridge, MA, USA

    Peter A. Gloor

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Fronzetti Colladon, A., Grippa, F. (2020). Brand Intelligence Analytics. In: Przegalinska, A., Grippa, F., Gloor, P. (eds) Digital Transformation of Collaboration. COINs 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-48993-9_10

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